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Rau Lab Handbook
  • Welcome to the Rau Lab!
  • About the Lab
  • Lab Policies
    • Code of Conduct
    • Working Hours and Time Off
    • Lab Safety
    • Scientific Integrity
    • Record Keeping / Notebooks
    • Mentorship and 1-on-1s
      • 1-on-1 Meeting Agenda Template
    • Communication
    • Scientific Writing
    • COVID 19 (largely depreciated)
  • Expectations and Responsibilities
    • For Everyone
    • For the PI
    • For Post-Docs
    • For Graduate Students
    • For Undergraduates
    • For Lab Technicians
    • For Rotation Students
  • Resources
    • Reading List
    • Software
    • Shared Computers
    • Ordering
    • Useful Scientific Links
    • Other Things You May Need
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  • Important Reading to Get Up to Speed for New Lab Members
  • Other Readings
  • Tutorials

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  1. Resources

Reading List

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Last updated 1 year ago

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Important Reading to Get Up to Speed for New Lab Members

These papers are most directly related to our current active projects, so you should be sure to read them in detail and ask many questions about them.

  1. (Lusis et al., 2016, JLR)

  2. Systems Genetics for Mechanistic Discovery in Heart Diseases (Rau et al., 2020, Circ Research)

  3. (Rau et al., 2015, Circ Card. Genetics)

  4. (Rau et al., 2017, Cell Systems)

Other Readings

  1. (Seldin & Lusis, 2019, J Lipid Res)

  2. (Riehle & Bauersachs, 2019, Cardiovascular Research)

  3. (Buchner & Nadeau, 2015, Genome Res)

  4. (Pritchard, 2023)

Tutorials

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The Hybrid Mouse Diversity Panel: a resource
Mapping Genetic Contributions to Cardiac Pathology Induced by Beta-Adrenergic Stimulation in Mice
Systems Genetics Approach Identifies Gene Pathways and Adamts2 as Drivers of Isoproterenol-Induced Cardiac Hypertrophy and Cardiomyopathy in Mice
Systems-based approaches for investigation of inter-tissue communication
Small Animal Models of Heart Failure
Contrasting Genetic Architectures in Different Mouse Reference Populations Used for Studying Complex Traits
A Guidebook for Human Genetics
A ggplot2 Tutorial for Beautiful Plotting in R
Visualization Course in R (slides in upper right corner)
How to Pick the Right Visualization
How to Write an Abstract
Ten Simple Rules for Structuring Papers
Making Beautiful Presentation Slides